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Marina Luchner

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#protein folding Open access Oct 2026

Machine learning-assisted directed evolution yields dramatic improvement on novel AAV engineering task

Directed evolution enables the discovery of protein mutants with improved fitness through iterative rounds of selection and has been widely applied to adeno-associated virus (AAV) capsid engineering. Machine learning (ML) can augment this process by prioritising mutants for experimental validation, but whether its bene...

Marina Luchner, Ioulia Vorobieva, Ruhani Makkar et al. · 0 citations
#gene editing Open access Sep 2026

Creating bottom-up RNA transfer vehicles from synthetic protein assemblies

This work demonstrates how proteins created by generative artificial intelligence can be harnessed for the rational engineering of RNA transport systems with the desired properties by overcoming the limitations of natural protein diversity.

Maren Kirstin Schuhmacher, Christoph Gruber, Christopher M. R. Lang et al. · 1 citation

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